Announcements

  • Congratulations on finishing CSCI E-80! 🎉
  • Final grades will be posted to your DCE student portal on Tuesday, May 27.

Description

This course explores the concepts and algorithms at the foundation of modern artificial intelligence, diving into the ideas that give rise to technologies like game-playing engines, handwriting recognition, and machine translation. Through hands-on projects, students gain exposure to the theory behind graph search algorithms, classification, optimization, reinforcement learning, and other topics in artificial intelligence and machine learning as they incorporate them into their own Python programs. By course’s end, students emerge with experience in libraries for machine learning as well as knowledge of artificial intelligence principles that enable them to design intelligent systems of their own.

Prerequisites

CS50, CSCI E-50, or CSCI S-50, CS50x, or at least one year of experience with Python.

Table of Contents

  1. Watch Lecture 0 after 2025-01-27T00:00:00-05:00.
  2. Complete Quiz 0, due 2025-02-02T23:59:00-05:00.
  3. Attend section, live and with webcam and audio enabled (per sections’ norms).
  4. Optionally attend office hours.
  5. Work on Project 0, due 2025-02-09T23:59:00-05:00.

Knowledge

  1. Watch Lecture 1 after 2025-02-10T00:00:00-05:00.
  2. Complete Quiz 1, due 2025-02-16T23:59:00-05:00.
  3. Attend section, live and with webcam and audio enabled (per sections’ norms).
  4. Optionally attend office hours.
  5. Work on Project 1, due 2025-02-23T23:59:00-05:00.

Uncertainty

  1. Watch Lecture 2 after 2025-02-24T00:00:00-05:00.
  2. Complete Quiz 2, due 2025-03-02T23:59:00-05:00.
  3. Attend section, live and with webcam and audio enabled (per sections’ norms).
  4. Optionally attend office hours.
  5. Work on Project 2, due 2025-03-09T23:59:00-04:00.
    • Note that Project 2 has two different options for you to choose from; you may only submit one, not both.

Optimization

  1. Watch Lecture 3 after 2025-03-10T00:00:00-04:00.
  2. Complete Quiz 3, due 2025-03-16T23:59:00-04:00.
  3. Attend section, live and with webcam and audio enabled (per sections’ norms).
  4. Optionally attend office hours.
  5. Work on Project 3, due 2025-03-23T23:59:00-04:00.

Learning

  1. Watch Lecture 4 after 2025-03-24T00:00:00-04:00.
  2. Complete Quiz 4, due 2025-03-30T23:59:00-04:00.
  3. Attend section, live and with webcam and audio enabled (per sections’ norms).
  4. Optionally attend office hours.
  5. Work on Project 4, due 2025-04-06T23:59:00-04:00.

Neural Networks

  1. Watch Lecture 5 after 2025-04-07T00:00:00-04:00.
  2. Complete Quiz 5, due 2025-04-13T23:59:00-04:00.
  3. Attend section, live and with webcam and audio enabled (per sections’ norms).
  4. Optionally attend office hours.
  5. Work on Project 5, due 2025-04-20T23:59:00-04:00.
    • Note that Project 5 has two different options for you to choose from; you may only submit one, not both.

Language

  1. Watch Lecture 6 after 2025-04-21T00:00:00-04:00.
  2. Complete Quiz 6, due 2025-04-27T23:59:00-04:00.
  3. Attend section, live and with webcam and audio enabled (per sections’ norms).
  4. Optionally attend office hours.
  5. Work on Project 6, due 2025-05-04T23:59:00-04:00.

Test

  1. Read information about the test.
  2. Watch the pre-recorded review session.
  3. Attend a final office hours session.
  4. Complete the test, due 2025-05-12T23:59:00-04:00.